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词义消歧和词义消歧评测简介 被引量：1

A Brief Introduction to Word Sense Disambiguation
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摘要 词义消歧是自然语言处理的基础研究之一。本文简要地介绍了词义消歧的研究目的、研究内容、研究方法(特别是基于机器学习的方法)和研究历程,以及当前词义消歧所面临的主要问题;接下来比较详细地介绍词义消歧相关的国际评测。最后对全文做出总结。 This motivation of WSD is polysemous words in SemEval campaigns is paper gives a brief survey of word sense disambiguation （WSD）. First the described. Next, the methods of how to predict the intended sense for the the context are introduced. Third, the evaluation of WSD system, Senseval/ discussed. At last, the conclusion is given.
作者 金澎
机构地区 乐山师范学院
出处 《术语标准化与信息技术》 2010年第3期29-34,40,共7页 Terminology Standardization & Information Technology
基金 北京大学计算语言学教育部重点实验室开放课题基金资助 基金编号KLCL-1002 乐山师范学院科研项目资助 项目编号Z1046
关键词 词义消歧 词义标注 机器学习 word sense disambiguation sense annotation machine learning
分类号 TP391.2 [自动化与计算机技术—计算机应用技术]
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参考文献19

  • 1Yee Seng Chan, Hwee Tou Ng and David Chiang, Word Sense Disambiguation Improves Statistical Machine Translation. Proceedings of the ACL-2007. pp. 33-40.
  • 2Christopher Stokoe, Michael Oakes and John Tait, Word Sense Disambiguation in Information Retrieval Revisited. Proceeding of the ACM SIGIR 2003. pp.159-166.
  • 3Philip Resnik and David Yarowsky, A Perspective on Word Sense Disambiguation Methods and Their Evaluation. Proceedings of The ACL-SIGLEX Workshop Tagging Text with Lexical Semantics. 1997, pp. 79-86.
  • 4金澎,吴云芳,俞士汶.词义标注语料库建设综述[J].中文信息学报,2008,22(3):16-23. 被引量：17
  • 5John R. Firth, A synopsis of linguistic theory 1930- 55. In Studies in Linguistic Analysis (Special Volume of the Philological Society), Oxford. The Philological Society. 1957, pp. 1-32.
  • 6Hoa. T. Dang and Martha Palmer, The Role of Semantic Roles in Disambiguating Verb Senses, Proceedings of ACL, 2005.
  • 7David Yarowsky, One Sense Per Collocation. Proceedings of ARPA Human Language Technology workshop. 1993, pp. 266-271.
  • 8David Yarowsky, Hierarchical Decision Lists for Word Sense Disambiguation. Computers and the Humanities. 2000, (1): 179-186.
  • 9Peng Jin, Xu Sun, Yunfang Wu and Shiwen Yu. Word Clustering for Collocation-Based Word Sense Disambiguation, Proceedings of the International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'07), LNCS4394. 2007. pp. 267-274.
  • 10Ted Pedersen. A Baseline Methodology for Word Sense Disambiguation, Proceedings of the Third International Conference on Intelligent Text Processing and Computational Linguistics, 2002.

二级参考文献42

  • 1闵金明,孙乐,张俊林.重新审视跨语言信息检索[J].中文信息学报,2006,20(4):33-40. 被引量：10
  • 2Y. S. Chan, H. T. Ng and D. Chiang, Word Sense Disambiguation Improves Statistical Machine Transla tion [A]. In: Proceedings of the ACL-2007 [C]. 33- 40.
  • 3C., Stokoe, M. P., Oakes, J. Tait, Word Sense Disambiguation in Information Retrieval Revisited [A]. In: Proceeding of the ACM SIGIR 2003 [C]. 159 166.
  • 4H. T. Ng, B. Wang and Y. S. Chan, Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study [A]. In: Proceedings of the ACL-2003 [C]. 455-462.
  • 5J. Veronis, Sense tagging: Does it Make Sense? [A]. In: The Corpus Linguistics' 2001 Conference [C]. 2001.
  • 6H. T. Ng, C. Y. Lim and S. K. Foo, A Case Study on Inter-Annotator Agreement for Word Sense Disambiguation [A]. In: Proceedings of the ACL SIGLEX Workshop on Standardizing Lexical Resources [C]. 1999. 9-13.
  • 7J. Carletta, Assessing Agreement on Classification Tasks: The kappa statistics [J]. Computational Linguistics, 1996, 22(2): 249-254
  • 8G. Miller, C. I.eacock, R. Tengi and T. Bunker, A Semantic Concordance [A]. In: Proceedings of ARPA Workshop on Human Language Technology [C]. 1993.
  • 9M. Stevenson and Y. Wilks, The Interaction of Knowledge Sources in Word Sense Disambiguation [J]. Computational Linguistics, 2001, 27(3):321- 349.
  • 10D. McCarthy and J. Carroll, Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences [J]. Computational Linguistics, 2003, (29):4, 641-654.

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术语标准化与信息技术
2010年 第3期

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